GDPR audit

A GDPR audit entails assessing how the organisation complies in practice with the requirements of the General Data Protection Regulation.

Explained – what is a GDPR audit?

A GDPR audit is a systematic assessment of how an organisation meets the requirements of the EU General Data Protection Regulation. The review commonly covers governance and accountability under Article 24, legal basis under Article 6, the principles in Article 5, data protection by design and by default under Article 25, and security under Article 32. It may also include records of processing activities under Article 30, the handling of data subjects’ rights under Articles 12 to 22, data protection impact assessments under Article 35, and the evaluation of international transfers under Chapter V. The work is often carried out by internal control, external counsel, or an experienced GDPR adviser using a structured method for review and documentation; in practice this constitutes a GDPR audit service with clear audit control testing and evidence.

When does a GDPR compliance audit become relevant?

The need arises ahead of product launches, major system changes, or procurements where personal data are processed in a new way. It is also relevant after incidents, during periodic supplier follow-up, or when management needs material for supervision or customer requirements. In organisations using cloud services, AI, or extensive analysis of customer data, the audit provides a consolidated view of risks, controls, and improvement needs over time. In these scenarios, a focused GDPR compliance audit or GDPR review helps prioritise actions and prepare for dialogue with counterparties and authorities.

Illustration of a GDPR audit checklist on a tablet, showing compliance checks, data protection controls and regulatory approval.

Points to consider for your GDPR review

Impact is greatest when the review is tied to clear objectives, traceable controls, and a structured action plan. The priorities below typically increase accuracy in both assessment and follow-up, and support disciplined audit scope definition and risk based sampling.

  • Define scope and sampling: processes, systems, processing activities, risk levels, and roles in scope, ensuring clear audit scope definition.
  • Validate the legal basis for each purpose under Article 6 and document the reasoning for decisions.
  • Test the principles in Article 5 through spot checks, including purpose limitation and storage limitation, and routines for deletion.
  • Check that the records under Article 30 are current, complete, and linked to actual data flows (records of processing activities).
  • Test data protection by design under Article 25: default settings and access restriction.
  • Evaluate security measures under Article 32 with evidence of access controls, logging, security testing, and recovery.
  • Verify the handling of data subjects’ rights under Articles 12 to 22 using test cases and measurable lead times.
  • Review data processing agreements under Article 28 and the follow-up of sub-processors, including planned controls.
  • Evaluate transfers under Chapter V: the transfer mechanism, supplementary safeguards, and documented decision logic.
  • Compile an action plan with accountable owners, due dates, priorities, and traceable follow-up to management.

This way of working makes it easier to evidence accountability under Article 24 and to turn observations into concrete improvements with clear ownership. A well-defined GDPR audit service and GDPR review support disciplined audit control testing and consistent measurement.

Frequently asked questions on GDPR audit

An independent review of how GDPR requirements are complied with in selected processes and systems. The work combines document review, interviews, risk based sampling, and examination of legal basis, principles, records, security, and rights as part of a disciplined GDPR audit service.

Annually or at major changes affecting data flows, risk levels, or sub-processors. A periodic GDPR compliance audit helps maintain assurance between change events.

The selection is based on risk, volume, and sensitivity. The aim is to obtain representative evidence and detect patterns requiring action.

  • Identify the population: all in-scope processing activities and their supporting systems.
  • Select samples using criteria: risk level, categories of data, and recipients.
  • Request evidence: decisions on legal basis, logs, procedures, and completed controls.
  • A GDPR adviser identifies deviations and sets out a recommendation.

Article 24 requires the controller to be able to demonstrate compliance. An audit produces traceable documentation and conclusions demonstrating how requirements have been translated into governance, controls, and actions, making follow-up and reporting more precise.

The aim is to verify actual practices and controls. Common sources include the following:

  • Records of processing activities under Article 30 and process descriptions.
  • DPIAs and related risk decisions under Article 35.
  • Data processing agreements under Article 28 and sub-processor lists.
  • Security policies, logs, and test protocols under Article 32.
  • Incident log and assessments under Articles 33 and 34.
  • Assessments of transfers under Chapter V.

They complement each other but have different purposes and timings. A DPIA under Article 35 is performed before a planned processing activity to assess risks and measures. A GDPR audit can be carried out on an ongoing or periodic basis to check how requirements are actually complied with. Internal audit focuses on governance and processes at a more overarching level. To keep the concepts apart, the following categorisation helps:

  • GDPR audit: compliance testing and evidence in selected processing activities.
  • DPIA: forward-looking risk analysis for planned or changed processing.
  • Internal audit: independent review of governance and internal control.

A practical model is to let the DPIA steer design decisions, the GDPR audit confirm that decisions work in operations, and internal audit evaluate that governance remains effective over time.

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